Since we have multiple points of data for lifespan, perhaps we should be computing a weighted average between them?
Going by gut feel: 3-5 years sounds like "pretty likely", let's give that 95% of the weight, at 4 years for simplicity. 10-20 years would be nice, but really, how much tech lasts that long? Not much. How about 4.9999999% at 15 years. And the remaining can go to "indefinitely", which seems pretty darn unlikely, so it has 0.0000001% weight.
(4*95+15*4.9999999+∞*0.0000001 / 100) = ∞
I guess we can ignore the monthly cost ¯\_(ツ)_/¯ I applied weights to things, so this is Bayesian, and we all know that's always right.
Just roll them in a nice soft blanket. I have one that keeps me warm even in plain winter. We can add a hot chocolate cup and that should do the trick.
Going by gut feel: 3-5 years sounds like "pretty likely", let's give that 95% of the weight, at 4 years for simplicity. 10-20 years would be nice, but really, how much tech lasts that long? Not much. How about 4.9999999% at 15 years. And the remaining can go to "indefinitely", which seems pretty darn unlikely, so it has 0.0000001% weight.
(4*95+15*4.9999999+∞*0.0000001 / 100) = ∞
I guess we can ignore the monthly cost ¯\_(ツ)_/¯ I applied weights to things, so this is Bayesian, and we all know that's always right.